Simon James Fong

International Conference on Applications of Digital Information and Web Technologies · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Simon James Fong trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Teuvo Kohonen (in Representation & Self-Supervised Learning)

Papers from Simon James Fong's perspective

Ordered by how strongly the researchers Simon James Fong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Self-Organization and Associative Memory
  2. ST-DBSCAN: An algorithm for clustering spatial-temporal data
  3. A Density Based Algorithm for Discovering Density Varied Clusters in Large Spatial Databases
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers